Senior AI Engineer - AI Platform & Enterprise Workflows

Bill & Melinda Gates Foundation; Seattle (WA); Hybrid; USD 157,000 - 236,000; Full time

Job summary

Bill & Melinda Gates Foundation seeks a Senior AI Engineer to design, build, and deploy AI solutions for global staff. You will translate complex problems into scalable, secure AI systems and collaborate with cross-functional teams to deliver production-ready results.

The role emphasizes hands-on coding with Python, LLMs, and Azure-based services, while ensuring data privacy and security. This is a 24-month, hybrid position based in Seattle.

Qualifications

• Bachelor’s degree or higher; advanced degree preferred.
• Minimum 8 years of relevant experience.
• Strong Python programming skills.
• Hands-on with AI-assisted coding tools.
• Experience deploying ML/LLM systems in production.

Responsibilities

• Design, build, and deploy AI solutions for enterprise needs.
• Develop agentic AI systems with multi-step workflows and orchestration.
• Integrate AI capabilities into enterprise apps via APIs and microservices.
• Collaborate with stakeholders to align AI solutions with requirements.
• Contribute to code reviews, testing, and CI/CD for reliable deployments.
• Monitor, troubleshoot, and optimize AI solutions on Azure.
• Ensure data privacy, security, and compliance in AI systems.
• Share knowledge and mentor teammates on AI best practices.
• Stay current with AI technologies and evaluate new approaches.

Skills

Python

Claude Code

GitHub Copilot

Codex

LLMs

Agentic systems

RAG architecture

Graph technologies

Embeddings

Tokenization

LangChain

LlamaIndex

ML/LLM production

Data privacy

Communication

Azure

Prototyping

Responsible AI

Scrum/Kanban

Education

Bachelor's degree or higher

Tools

Azure OpenAI

Azure Foundry

Azure AI Search

Job description

Bill & Melinda Gates Foundation seeks a Senior AI Engineer to design, build, and deploy AI solutions for global staff. You will translate complex problems into scalable, secure AI systems and collaborate with cross-functional teams to deliver production-ready results.

The role emphasizes hands-on coding with Python, LLMs, and Azure-based services, while ensuring data privacy and security. This is a 24-month, hybrid position based in Seattle.